Development of High-Durability Concrete with a Smart Artificial Lightweight Aggregate
نویسندگان
چکیده
منابع مشابه
Prediction of Lightweight Aggregate Concrete Compressive Strength
Nowadays, the better performance of lightweight structures during earthquake has resulted in using lightweight concrete more than ever. However, determining the compressive strength of concrete used in these structures during their service through a none-destructive test is a popular and useful method. One of the main methods of non-destructive testing in the assessment of compressive strength...
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In this study, waste tire powder and waste liquid crystal display (LCD) glass sand are used as recycled materials. With a fixed water to binder ratio (W/B = 0.4), the use of fly ash and slag as cementreplacement materials. waste tire powder and waste LCD glass sand, which passed the sieve screen size # 30(0.595 mm), were used to replace fine aggregates at 0%, 5% and 10% in producing lightweight...
متن کاملFlashag – New Lightweight Aggregate for High Strength and Durable Concrete
A new patented lightweight aggregates is tested. This type is given the name Flashag. The only solid raw material used to manufacture these aggregates is fly ash. The aggregates are sintered but not pelletized and the process is easy and inexpensive. This paper describes these patented aggregates and compares them with other lightweight and normal-weight aggregates that are used for concrete. T...
متن کاملProperties of Green Lightweight Aggregate Concrete
With increasing concern over the excessive exploitation of natural aggregates, synthetic lightweight aggregate produced from environmental waste is a viable new source of structural aggregate material. The uses of structural grade lightweight concrete reduce considerably the self-load of a structure and permit larger precast units to be handled. In this paper, the mechanical properties of a str...
متن کاملPREDICTION OF COMPRESSIVE STRENGTH AND DURABILITY OF HIGH PERFORMANCE CONCRETE BY ARTIFICIAL NEURAL NETWORKS
Neural networks have recently been widely used to model some of the human activities in many areas of civil engineering applications. In the present paper, artificial neural networks (ANN) for predicting compressive strength of cubes and durability of concrete containing metakaolin with fly ash and silica fume with fly ash are developed at the age of 3, 7, 28, 56 and 90 days. For building these...
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ژورنال
عنوان ژورنال: Journal of Advanced Concrete Technology
سال: 2012
ISSN: 1346-8014,1347-3913
DOI: 10.3151/jact.10.231